Evidence map›Paper›PMID 41822684›Full record

ArticlemedRxiv : the preprint server for health sciences2026

Longer Sleep Duration Predicts Progression to Bipolar or Psychotic Disorders in Youth accessing Early Intervention Mental Health Services.

Joanne S Carpenter, Jacob J Crouse, Mathew Varidel, Emiliana Tonini, Mirim Shin, Natalia Zmicerevska, Alissa Nichles, Daniel F Hermens, Kathleen R Merikangas, Elizabeth M Scott and 2 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Joanne S CarpenterYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0002-9766-6700
Jacob J CrouseYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0002-3805-2936
Mathew VaridelYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0002-1648-8317
Emiliana ToniniYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0002-8582-0491
Mirim ShinYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0002-1648-341X
Natalia ZmicerevskaYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0001-7649-4711
Alissa NichlesYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0001-6404-7199
Daniel F HermensYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0002-8570-2663
Kathleen R MerikangasGenetic Epidemiology Branch, Intramural Research Program, National Institute of Mental Health, Bethesda, USA.ORCID 0000-0002-4667-2414
Elizabeth M ScottYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0003-3907-0324
Ian B HickieYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0001-8832-9895
Frank IorfinoYouth Mental Health and Technology Team, Brain and Mind Centre, The University of Sydney, NSW Australia.ORCID 0000-0003-1109-0972

Funding

Family Study of Affective and Anxiety Spectrum DisordersZ01MH002804 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MERIKANGAS, KATHLEEN R · 2003 to 2008
$4.2M
Intramural NIH HHS Z01 MH002804
6 · The paper itself

Abstract

Background: While growing evidence implicates sleep-wake and circadian rhythm disturbances (SCRDs) in the onset and course of mood and psychotic disorders, longitudinal studies using objective measures are limited. This clinical cohort study examined whether actigraphy-derived SCRDs (sleep duration, timing, and efficiency) predicted transition to (i) any full-threshold mental disorders; and then specifically: (ii) full-threshold bipolar or psychotic disorders or (iii) other full-threshold (i.e. depressive or anxiety) disorders, in youth accessing mental health care. Methods: Actigraphy monitoring was completed for 5-23 days in 250 participants (aged 12-30) presenting to youth-focused early intervention services in Sydney, Australia. Participants were followed longitudinally as part of the Optymise cohort for 6+ months (up to 8 years; median 2.5 years). Logistic regression and Cox proportional hazard models estimated associations between SCRDs and illness progression, after controlling for relevant baseline clinical and demographic covariates (e.g., age, sex, social and occupational functioning, mania-like and psychotic-like experiences, medication use). Results: Longer sleep duration at baseline predicted higher odds of transition (OR = 2.23 [95%CI = 1.38-3.74]), and shorter time-to-transition (HR = 2.05 [95%CI = 1.23-3.40]) to full-threshold bipolar or psychotic disorders. This effect remained significant after controlling for clinical covariates. Later sleep midpoint predicted transition to any full-threshold mental disorder (OR = 1.46 [95%CI = 1.02-2.17]) at the uncorrected significance level. Conclusions: Excessive sleep duration may represent an early marker of vulnerability for progression to severe mental illness. Findings support the prognostic utility of objective measures of SCRDs to guide indicated prevention and early intervention.

Indexed as

Actigraphybipolar disordercircadianearly interventionmental healthpsychotic disordersrisk predictionsleepyouth

Identifiers

PMID41822684
PMCPMC12976896

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.